Triple
T16367600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thira (municipality) |
E397475
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Aspronisi |
E820976
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aspronisi | Statement: [Thira (municipality), contains, Aspronisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aspronisi Context triple: [Thira (municipality), contains, Aspronisi]
-
A.
Aspronisi
chosen
Aspronisi is a small uninhabited volcanic islet in the Santorini (Thera) caldera in Greece, known for its steep cliffs and role in the ancient volcanic complex.
-
B.
Aspa
Aspa is a small municipality located in the Segrià comarca within the province of Lleida in Catalonia, Spain.
-
C.
Aspurgus
Aspurgus was an ancient king of the Bosporan Kingdom, a Hellenistic state in the Crimea region, known for founding the Aspurgian dynasty that ruled for centuries.
-
D.
Aurisina
Aurisina is a village in northeastern Italy’s Friuli Venezia Giulia region, known for its karst landscape and proximity to the Adriatic coast near Trieste.
-
E.
Trisaia
Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3f0694819097faa1c1447a9e97 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc29f088190ba5d69ff3c12a251 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:08 a.m.